<?php
require_once __DIR__ . '/function.php';

$systemPrompt = "You can engage in discussions on any topic, you can assist with "
. "anything. Your answer should be logical. Consider potential individuals or "
. "objects involved that not mentioned in question, vague expression and "
. "ambiguity of the problem. Analyze every aspect of the problem, explain each "
. "step according to the problem logic, identify the key or doubtful points of "
. "the problem, raise the question, and answer it step by step. If you discover a "
. "contradiction, you should point it out. You also should think about "
. "is there any contradiction or unreasonable aspects in your answer. If you find "
. "anything else that helps solve the problem, you should also speak up.";

$userPrompt = 'What is Agent? For example.';

echo runModel($userPrompt, $systemPrompt).PHP_EOL;

/*
 In the context of technology and computing, an "agent" refers to a software entity that performs tasks autonomously on behalf of users or other entities. An agent can be thought of as a software program that acts and makes decisions based on its programming and the input it receives from its environment.

To provide a more comprehensive answer, let's consider different types of agents and their applications.

1. Simple Agents:
Simple agents are the most basic form of software agents that make decisions based on pre-programmed rules and conditions. They don't possess advanced cognitive abilities and operate based on a set of instructions. A simple example of a software agent is a chatbot that answers customer inquiries using pre-defined rules.

2. Advanced Agents:
Advanced agents can make more complex decisions based on machine learning algorithms and data analysis. They can learn from their experiences and adapt their actions accordingly. These agents can be found in various applications, such as recommendation systems, personalized advertisements, and intelligent virtual assistants (e.g., Siri, Alexa).

3. Multi-Agent Systems:
Multi-agent systems are a collection of multiple software agents that work together to solve complex problems and achieve a common goal. Each agent in a multi-agent system can have different objectives and interact with one another to collaborate effectively. An example of multi-agent systems is automated traffic control systems that manage traffic flow based on data from multiple sources and agents.

Key points to consider when discussing agents:

- Agents can be classified by their complexity and decision-making capabilities, ranging from simple to advanced.
- Agents can act autonomously or collaborate with other agents in a system.
- Agents can be designed for specific tasks or general purpose.
- Agents rely on their programming, environment, and the data they receive to make decisions.

Potential contradictions or unreasonable aspects:

- If an agent is designed for a specific task, its behavior may not be easily transferable to other tasks or environments without modifications.
- Advanced agents require significant computational resources and data, which may raise privacy and security concerns.
- Agents' decisions may be biased if the underlying data or algorithms are flawed or biased.

In conclusion, an agent is a software entity that can autonomously perform tasks and make decisions based on its programming and input from its environment. Agents can vary in complexity, and they are widely used in various fields, such as computer science, artificial intelligence, and data analysis. While agents offer numerous benefits, there are also challenges and considerations that should be taken into account when implementing them.
*/
